arXiv Computer Vision
OLiVES: An Outdoor Low-Light Video Benchmark for Enhancement and Segmentation
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ELVIS: Enhance Low-Light for Video Instance Segmentation in the Dark
arXiv:2512.01495v4 Announce Type: replace Abstract: Video instance segmentation (VIS) for low-light content remains highly challenging for both humans and machines alike, due to noise, blur and other...
arXiv Computer Vision
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When Predicting Nothing Beats SAM 3: Revisiting Evaluation in Video Object Segmentation
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MarineLife-16K: An Attribute-Rich Video-Text Dataset for Motion-Aware Marine Video Understanding
arXiv:2610.33478v1 Announce Type: cross Abstract: Marine video understanding is crucial for a wide range of real-world applications. However, existing marine video datasets suffer from limitations, i...
arXiv AI
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TransVLM: A Vision-Language Framework and Benchmark for Detecting Any Shot Transitions
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arXiv Computer Vision
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DiDA: Video Object Segmentation with Distillation Learning of Deformable Attention
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Hugging Face Trending Papers
Jun 3
Scene-Centric Unsupervised Video Panoptic Segmentation
Video panoptic segmentation (VPS) aims to jointly detect, segment, and track all objects while partitioning the video into semantically consistent regions. We introduce the task setting of unsupervised VPS, omitting any human supervision.